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Collaborative Logistics: Optimizing Fixed-scheduled Container Trains

Research output: Contribution to journalArticlepeer-review

Abstract

We propose a new logistics concept for rail-based container transportation where, instead of booking individual slots on specific trains (which is the current state of the art), customers only specify from where to where they want their containers to be delivered, as well as appropriate time windows for pickup and delivery. A containers actual transportation route is then chosen by a freight forwarder based on the availability and compatibility of freight trains. We provide an optimization algorithm based on an integer linear programming formulation that can be used to find globally optimal transportation schedules for a given set of containers. Our computational experiments show that this new paradigm can significantly reduce the number of trains required for serving a given container transportation demand, improving the logistic systems’ overall environmental and economic efficiency.
Original languageEnglish
Article number71
Number of pages11
JournalEuropean Transport Research Review
Volume16
DOIs
Publication statusPublished - 23 Dec 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  4. SDG 13 - Climate Action
    SDG 13 Climate Action

Research Field

  • Transport Optimisation and Energy Logistics

Keywords

  • Container transportation
  • Optimized transport schedules
  • Horizontal cooperation

Web of Science subject categories (JCR Impact Factors)

  • Transportation
  • Transportation Science & Technology

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